{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits import mplot3d\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 测试画单纯形的例子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "Z =np.array([[1,1],[1,2]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 1],\n",
       "       [1, 2]])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.get_websocket_type = function() {\n    if (typeof(WebSocket) !== 'undefined') {\n        return WebSocket;\n    } else if (typeof(MozWebSocket) !== 'undefined') {\n        return MozWebSocket;\n    } else {\n        alert('Your browser does not have WebSocket support. ' +\n              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n              'Firefox 4 and 5 are also supported but you ' +\n              'have to enable WebSockets in about:config.');\n    };\n}\n\nmpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n    this.id = figure_id;\n\n    this.ws = websocket;\n\n    this.supports_binary = (this.ws.binaryType != undefined);\n\n    if (!this.supports_binary) {\n        var warnings = document.getElementById(\"mpl-warnings\");\n        if (warnings) {\n            warnings.style.display = 'block';\n            warnings.textContent = (\n                \"This browser does not support binary websocket messages. \" +\n                    \"Performance may be slow.\");\n        }\n    }\n\n    this.imageObj = new Image();\n\n    this.context = undefined;\n    this.message = undefined;\n    this.canvas = undefined;\n    this.rubberband_canvas = undefined;\n    this.rubberband_context = undefined;\n    this.format_dropdown = undefined;\n\n    this.image_mode = 'full';\n\n    this.root = $('<div/>');\n    this._root_extra_style(this.root)\n    this.root.attr('style', 'display: inline-block');\n\n    $(parent_element).append(this.root);\n\n    this._init_header(this);\n    this._init_canvas(this);\n    this._init_toolbar(this);\n\n    var fig = this;\n\n    this.waiting = false;\n\n    this.ws.onopen =  function () {\n            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n            fig.send_message(\"send_image_mode\", {});\n            if (mpl.ratio != 1) {\n                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n            }\n            fig.send_message(\"refresh\", {});\n        }\n\n    this.imageObj.onload = function() {\n            if (fig.image_mode == 'full') {\n                // Full images could contain transparency (where diff images\n                // almost always do), so we need to clear the canvas so that\n                // there is no ghosting.\n                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n            }\n            fig.context.drawImage(fig.imageObj, 0, 0);\n        };\n\n    this.imageObj.onunload = function() {\n        fig.ws.close();\n    }\n\n    this.ws.onmessage = this._make_on_message_function(this);\n\n    this.ondownload = ondownload;\n}\n\nmpl.figure.prototype._init_header = function() {\n    var titlebar = $(\n        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n        'ui-helper-clearfix\"/>');\n    var titletext = $(\n        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n        'text-align: center; padding: 3px;\"/>');\n    titlebar.append(titletext)\n    this.root.append(titlebar);\n    this.header = titletext[0];\n}\n\n\n\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.figure.prototype._init_canvas = function() {\n    var fig = this;\n\n    var canvas_div = $('<div/>');\n\n    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n\n    function canvas_keyboard_event(event) {\n        return fig.key_event(event, event['data']);\n    }\n\n    canvas_div.keydown('key_press', canvas_keyboard_event);\n    canvas_div.keyup('key_release', canvas_keyboard_event);\n    this.canvas_div = canvas_div\n    this._canvas_extra_style(canvas_div)\n    this.root.append(canvas_div);\n\n    var canvas = $('<canvas/>');\n    canvas.addClass('mpl-canvas');\n    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n\n    this.canvas = canvas[0];\n    this.context = canvas[0].getContext(\"2d\");\n\n    var backingStore = this.context.backingStorePixelRatio ||\n\tthis.context.webkitBackingStorePixelRatio ||\n\tthis.context.mozBackingStorePixelRatio ||\n\tthis.context.msBackingStorePixelRatio ||\n\tthis.context.oBackingStorePixelRatio ||\n\tthis.context.backingStorePixelRatio || 1;\n\n    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n\n    var rubberband = $('<canvas/>');\n    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n\n    var pass_mouse_events = true;\n\n    canvas_div.resizable({\n        start: function(event, ui) {\n            pass_mouse_events = false;\n        },\n        resize: function(event, ui) {\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n        stop: function(event, ui) {\n            pass_mouse_events = true;\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n    });\n\n    function mouse_event_fn(event) {\n        if (pass_mouse_events)\n            return fig.mouse_event(event, event['data']);\n    }\n\n    rubberband.mousedown('button_press', mouse_event_fn);\n    rubberband.mouseup('button_release', mouse_event_fn);\n    // Throttle sequential mouse events to 1 every 20ms.\n    rubberband.mousemove('motion_notify', mouse_event_fn);\n\n    rubberband.mouseenter('figure_enter', mouse_event_fn);\n    rubberband.mouseleave('figure_leave', mouse_event_fn);\n\n    canvas_div.on(\"wheel\", function (event) {\n        event = event.originalEvent;\n        event['data'] = 'scroll'\n        if (event.deltaY < 0) {\n            event.step = 1;\n        } else {\n            event.step = -1;\n        }\n        mouse_event_fn(event);\n    });\n\n    canvas_div.append(canvas);\n    canvas_div.append(rubberband);\n\n    this.rubberband = rubberband;\n    this.rubberband_canvas = rubberband[0];\n    this.rubberband_context = rubberband[0].getContext(\"2d\");\n    this.rubberband_context.strokeStyle = \"#000000\";\n\n    this._resize_canvas = function(width, height) {\n        // Keep the size of the canvas, canvas container, and rubber band\n        // canvas in synch.\n        canvas_div.css('width', width)\n        canvas_div.css('height', height)\n\n        canvas.attr('width', width * mpl.ratio);\n        canvas.attr('height', height * mpl.ratio);\n        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n\n        rubberband.attr('width', width);\n        rubberband.attr('height', height);\n    }\n\n    // Set the figure to an initial 600x600px, this will subsequently be updated\n    // upon first draw.\n    this._resize_canvas(600, 600);\n\n    // Disable right mouse context menu.\n    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n        return false;\n    });\n\n    function set_focus () {\n        canvas.focus();\n        canvas_div.focus();\n    }\n\n    window.setTimeout(set_focus, 100);\n}\n\nmpl.figure.prototype._init_toolbar = function() {\n    var fig = this;\n\n    var nav_element = $('<div/>');\n    nav_element.attr('style', 'width: 100%');\n    this.root.append(nav_element);\n\n    // Define a callback function for later on.\n    function toolbar_event(event) {\n        return fig.toolbar_button_onclick(event['data']);\n    }\n    function toolbar_mouse_event(event) {\n        return fig.toolbar_button_onmouseover(event['data']);\n    }\n\n    for(var toolbar_ind in mpl.toolbar_items) {\n        var name = mpl.toolbar_items[toolbar_ind][0];\n        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n        var image = mpl.toolbar_items[toolbar_ind][2];\n        var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n        if (!name) {\n            // put a spacer in here.\n            continue;\n        }\n        var button = $('<button/>');\n        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n                        'ui-button-icon-only');\n        button.attr('role', 'button');\n        button.attr('aria-disabled', 'false');\n        button.click(method_name, toolbar_event);\n        button.mouseover(tooltip, toolbar_mouse_event);\n\n        var icon_img = $('<span/>');\n        icon_img.addClass('ui-button-icon-primary ui-icon');\n        icon_img.addClass(image);\n        icon_img.addClass('ui-corner-all');\n\n        var tooltip_span = $('<span/>');\n        tooltip_span.addClass('ui-button-text');\n        tooltip_span.html(tooltip);\n\n        button.append(icon_img);\n        button.append(tooltip_span);\n\n        nav_element.append(button);\n    }\n\n    var fmt_picker_span = $('<span/>');\n\n    var fmt_picker = $('<select/>');\n    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n    fmt_picker_span.append(fmt_picker);\n    nav_element.append(fmt_picker_span);\n    this.format_dropdown = fmt_picker[0];\n\n    for (var ind in mpl.extensions) {\n        var fmt = mpl.extensions[ind];\n        var option = $(\n            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n        fmt_picker.append(option);\n    }\n\n    // Add hover states to the ui-buttons\n    $( \".ui-button\" ).hover(\n        function() { $(this).addClass(\"ui-state-hover\");},\n        function() { $(this).removeClass(\"ui-state-hover\");}\n    );\n\n    var status_bar = $('<span class=\"mpl-message\"/>');\n    nav_element.append(status_bar);\n    this.message = status_bar[0];\n}\n\nmpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n    // which will in turn request a refresh of the image.\n    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n}\n\nmpl.figure.prototype.send_message = function(type, properties) {\n    properties['type'] = type;\n    properties['figure_id'] = this.id;\n    this.ws.send(JSON.stringify(properties));\n}\n\nmpl.figure.prototype.send_draw_message = function() {\n    if (!this.waiting) {\n        this.waiting = true;\n        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n    }\n}\n\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    var format_dropdown = fig.format_dropdown;\n    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n    fig.ondownload(fig, format);\n}\n\n\nmpl.figure.prototype.handle_resize = function(fig, msg) {\n    var size = msg['size'];\n    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n        fig._resize_canvas(size[0], size[1]);\n        fig.send_message(\"refresh\", {});\n    };\n}\n\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'] / mpl.ratio;\n    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n    var x1 = msg['x1'] / mpl.ratio;\n    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.figure.prototype.handle_cursor = function(fig, msg) {\n    var cursor = msg['cursor'];\n    switch(cursor)\n    {\n    case 0:\n        cursor = 'pointer';\n        break;\n    case 1:\n        cursor = 'default';\n        break;\n    case 2:\n        cursor = 'crosshair';\n        break;\n    case 3:\n        cursor = 'move';\n        break;\n    }\n    fig.rubberband_canvas.style.cursor = cursor;\n}\n\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.figure.prototype.updated_canvas_event = function() {\n    // Called whenever the canvas gets updated.\n    this.send_message(\"ack\", {});\n}\n\n// A function to construct a web socket function for onmessage handling.\n// Called in the figure constructor.\nmpl.figure.prototype._make_on_message_function = function(fig) {\n    return function socket_on_message(evt) {\n        if (evt.data instanceof Blob) {\n            /* FIXME: We get \"Resource interpreted as Image but\n             * transferred with MIME type text/plain:\" errors on\n             * Chrome.  But how to set the MIME type?  It doesn't seem\n             * to be part of the websocket stream */\n            evt.data.type = \"image/png\";\n\n            /* Free the memory for the previous frames */\n            if (fig.imageObj.src) {\n                (window.URL || window.webkitURL).revokeObjectURL(\n                    fig.imageObj.src);\n            }\n\n            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n                evt.data);\n            fig.updated_canvas_event();\n            fig.waiting = false;\n            return;\n        }\n        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n            fig.imageObj.src = evt.data;\n            fig.updated_canvas_event();\n            fig.waiting = false;\n            return;\n        }\n\n        var msg = JSON.parse(evt.data);\n        var msg_type = msg['type'];\n\n        // Call the  \"handle_{type}\" callback, which takes\n        // the figure and JSON message as its only arguments.\n        try {\n            var callback = fig[\"handle_\" + msg_type];\n        } catch (e) {\n            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n            return;\n        }\n\n        if (callback) {\n            try {\n                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n                callback(fig, msg);\n            } catch (e) {\n                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n            }\n        }\n    };\n}\n\n// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\nmpl.findpos = function(e) {\n    //this section is from http://www.quirksmode.org/js/events_properties.html\n    var targ;\n    if (!e)\n        e = window.event;\n    if (e.target)\n        targ = e.target;\n    else if (e.srcElement)\n        targ = e.srcElement;\n    if (targ.nodeType == 3) // defeat Safari bug\n        targ = targ.parentNode;\n\n    // jQuery normalizes the pageX and pageY\n    // pageX,Y are the mouse positions relative to the document\n    // offset() returns the position of the element relative to the document\n    var x = e.pageX - $(targ).offset().left;\n    var y = e.pageY - $(targ).offset().top;\n\n    return {\"x\": x, \"y\": y};\n};\n\n/*\n * return a copy of an object with only non-object keys\n * we need this to avoid circular references\n * http://stackoverflow.com/a/24161582/3208463\n */\nfunction simpleKeys (original) {\n  return Object.keys(original).reduce(function (obj, key) {\n    if (typeof original[key] !== 'object')\n        obj[key] = original[key]\n    return obj;\n  }, {});\n}\n\nmpl.figure.prototype.mouse_event = function(event, name) {\n    var canvas_pos = mpl.findpos(event)\n\n    if (name === 'button_press')\n    {\n        this.canvas.focus();\n        this.canvas_div.focus();\n    }\n\n    var x = canvas_pos.x * mpl.ratio;\n    var y = canvas_pos.y * mpl.ratio;\n\n    this.send_message(name, {x: x, y: y, button: event.button,\n                             step: event.step,\n                             guiEvent: simpleKeys(event)});\n\n    /* This prevents the web browser from automatically changing to\n     * the text insertion cursor when the button is pressed.  We want\n     * to control all of the cursor setting manually through the\n     * 'cursor' event from matplotlib */\n    event.preventDefault();\n    return false;\n}\n\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.figure.prototype.key_event = function(event, name) {\n\n    // Prevent repeat events\n    if (name == 'key_press')\n    {\n        if (event.which === this._key)\n            return;\n        else\n            this._key = event.which;\n    }\n    if (name == 'key_release')\n        this._key = null;\n\n    var value = '';\n    if (event.ctrlKey && event.which != 17)\n        value += \"ctrl+\";\n    if (event.altKey && event.which != 18)\n        value += \"alt+\";\n    if (event.shiftKey && event.which != 16)\n        value += \"shift+\";\n\n    value += 'k';\n    value += event.which.toString();\n\n    this._key_event_extra(event, name);\n\n    this.send_message(name, {key: value,\n                             guiEvent: simpleKeys(event)});\n    return false;\n}\n\nmpl.figure.prototype.toolbar_button_onclick = function(name) {\n    if (name == 'download') {\n        this.handle_save(this, null);\n    } else {\n        this.send_message(\"toolbar_button\", {name: name});\n    }\n};\n\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n\nmpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n\nmpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n    // Create a \"websocket\"-like object which calls the given IPython comm\n    // object with the appropriate methods. Currently this is a non binary\n    // socket, so there is still some room for performance tuning.\n    var ws = {};\n\n    ws.close = function() {\n        comm.close()\n    };\n    ws.send = function(m) {\n        //console.log('sending', m);\n        comm.send(m);\n    };\n    // Register the callback with on_msg.\n    comm.on_msg(function(msg) {\n        //console.log('receiving', msg['content']['data'], msg);\n        // Pass the mpl event to the overridden (by mpl) onmessage function.\n        ws.onmessage(msg['content']['data'])\n    });\n    return ws;\n}\n\nmpl.mpl_figure_comm = function(comm, msg) {\n    // This is the function which gets called when the mpl process\n    // starts-up an IPython Comm through the \"matplotlib\" channel.\n\n    var id = msg.content.data.id;\n    // Get hold of the div created by the display call when the Comm\n    // socket was opened in Python.\n    var element = $(\"#\" + id);\n    var ws_proxy = comm_websocket_adapter(comm)\n\n    function ondownload(figure, format) {\n        window.open(figure.imageObj.src);\n    }\n\n    var fig = new mpl.figure(id, ws_proxy,\n                           ondownload,\n                           element.get(0));\n\n    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n    // web socket which is closed, not our websocket->open comm proxy.\n    ws_proxy.onopen();\n\n    fig.parent_element = element.get(0);\n    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n    if (!fig.cell_info) {\n        console.error(\"Failed to find cell for figure\", id, fig);\n        return;\n    }\n\n    var output_index = fig.cell_info[2]\n    var cell = fig.cell_info[0];\n\n};\n\nmpl.figure.prototype.handle_close = function(fig, msg) {\n    var width = fig.canvas.width/mpl.ratio\n    fig.root.unbind('remove')\n\n    // Update the output cell to use the data from the current canvas.\n    fig.push_to_output();\n    var dataURL = fig.canvas.toDataURL();\n    // Re-enable the keyboard manager in IPython - without this line, in FF,\n    // the notebook keyboard shortcuts fail.\n    IPython.keyboard_manager.enable()\n    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n    fig.close_ws(fig, msg);\n}\n\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.figure.prototype.push_to_output = function(remove_interactive) {\n    // Turn the data on the canvas into data in the output cell.\n    var width = this.canvas.width/mpl.ratio\n    var dataURL = this.canvas.toDataURL();\n    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n}\n\nmpl.figure.prototype.updated_canvas_event = function() {\n    // Tell IPython that the notebook contents must change.\n    IPython.notebook.set_dirty(true);\n    this.send_message(\"ack\", {});\n    var fig = this;\n    // Wait a second, then push the new image to the DOM so\n    // that it is saved nicely (might be nice to debounce this).\n    setTimeout(function () { fig.push_to_output() }, 1000);\n}\n\nmpl.figure.prototype._init_toolbar = function() {\n    var fig = this;\n\n    var nav_element = $('<div/>');\n    nav_element.attr('style', 'width: 100%');\n    this.root.append(nav_element);\n\n    // Define a callback function for later on.\n    function toolbar_event(event) {\n        return fig.toolbar_button_onclick(event['data']);\n    }\n    function toolbar_mouse_event(event) {\n        return fig.toolbar_button_onmouseover(event['data']);\n    }\n\n    for(var toolbar_ind in mpl.toolbar_items){\n        var name = mpl.toolbar_items[toolbar_ind][0];\n        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n        var image = mpl.toolbar_items[toolbar_ind][2];\n        var method_name = mpl.toolbar_items[toolbar_ind][3];\n\n        if (!name) { continue; };\n\n        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n        button.click(method_name, toolbar_event);\n        button.mouseover(tooltip, toolbar_mouse_event);\n        nav_element.append(button);\n    }\n\n    // Add the status bar.\n    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n    nav_element.append(status_bar);\n    this.message = status_bar[0];\n\n    // Add the close button to the window.\n    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n    button.click(function (evt) { fig.handle_close(fig, {}); } );\n    button.mouseover('Stop Interaction', toolbar_mouse_event);\n    buttongrp.append(button);\n    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n    titlebar.prepend(buttongrp);\n}\n\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.figure.prototype._canvas_extra_style = function(el){\n    // this is important to make the div 'focusable\n    el.attr('tabindex', 0)\n    // reach out to IPython and tell the keyboard manager to turn it's self\n    // off when our div gets focus\n\n    // location in version 3\n    if (IPython.notebook.keyboard_manager) {\n        IPython.notebook.keyboard_manager.register_events(el);\n    }\n    else {\n        // location in version 2\n        IPython.keyboard_manager.register_events(el);\n    }\n\n}\n\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    var manager = IPython.notebook.keyboard_manager;\n    if (!manager)\n        manager = IPython.keyboard_manager;\n\n    // Check for shift+enter\n    if (event.shiftKey && event.which == 13) {\n        this.canvas_div.blur();\n        // select the cell after this one\n        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n        IPython.notebook.select(index + 1);\n    }\n}\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.find_output_cell = function(html_output) {\n    // Return the cell and output element which can be found *uniquely* in the notebook.\n    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n    // IPython event is triggered only after the cells have been serialised, which for\n    // our purposes (turning an active figure into a static one), is too late.\n    var cells = IPython.notebook.get_cells();\n    var ncells = cells.length;\n    for (var i=0; i<ncells; i++) {\n        var cell = cells[i];\n        if (cell.cell_type === 'code'){\n            for (var j=0; j<cell.output_area.outputs.length; j++) {\n                var data = cell.output_area.outputs[j];\n                if (data.data) {\n                    // IPython >= 3 moved mimebundle to data attribute of output\n                    data = data.data;\n                }\n                if (data['text/html'] == html_output) {\n                    return [cell, data, j];\n                }\n            }\n        }\n    }\n}\n\n// Register the function which deals with the matplotlib target/channel.\n// The kernel may be null if the page has been refreshed.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div id='37c01a6b-11e8-41c1-9c1b-5bbfd5ad891d'></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = plt.axes(projection='3d')\n",
    "x = np.array([0,0,1])\n",
    "y = np.array([0,1,0])\n",
    "z = np.array([2,1,0.5])\n",
    "ax.plot_trisurf(x,y,z)\n",
    "x = np.array([0,1,1])\n",
    "y = np.array([1,0,1])\n",
    "z = np.array([1,0.5,1.5])\n",
    "ax.plot_trisurf(x,y,z)\n",
    "ax.set_title('surface')\n",
    "ax.set_zlim(0,3)\n",
    "ax.view_init(60, 35)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[0;31mSignature:\u001b[0m\n",
      "\u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_surface\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m    \u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m    \u001b[0mY\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m    \u001b[0mZ\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m    \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m    \u001b[0mnorm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m    \u001b[0mvmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m    \u001b[0mvmax\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m    \u001b[0mlightsource\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m    \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
      "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mDocstring:\u001b[0m\n",
      "Create a surface plot.\n",
      "\n",
      "By default it will be colored in shades of a solid color, but it also\n",
      "supports color mapping by supplying the *cmap* argument.\n",
      "\n",
      ".. note::\n",
      "\n",
      "   The *rcount* and *ccount* kwargs, which both default to 50,\n",
      "   determine the maximum number of samples used in each direction.  If\n",
      "   the input data is larger, it will be downsampled (by slicing) to\n",
      "   these numbers of points.\n",
      "\n",
      "Parameters\n",
      "----------\n",
      "X, Y, Z : 2d arrays\n",
      "    Data values.\n",
      "\n",
      "rcount, ccount : int\n",
      "    Maximum number of samples used in each direction.  If the input\n",
      "    data is larger, it will be downsampled (by slicing) to these\n",
      "    numbers of points.  Defaults to 50.\n",
      "\n",
      "    .. versionadded:: 2.0\n",
      "\n",
      "rstride, cstride : int\n",
      "    Downsampling stride in each direction.  These arguments are\n",
      "    mutually exclusive with *rcount* and *ccount*.  If only one of\n",
      "    *rstride* or *cstride* is set, the other defaults to 10.\n",
      "\n",
      "    'classic' mode uses a default of ``rstride = cstride = 10`` instead\n",
      "    of the new default of ``rcount = ccount = 50``.\n",
      "\n",
      "color : color-like\n",
      "    Color of the surface patches.\n",
      "\n",
      "cmap : Colormap\n",
      "    Colormap of the surface patches.\n",
      "\n",
      "facecolors : array-like of colors.\n",
      "    Colors of each individual patch.\n",
      "\n",
      "norm : Normalize\n",
      "    Normalization for the colormap.\n",
      "\n",
      "vmin, vmax : float\n",
      "    Bounds for the normalization.\n",
      "\n",
      "shade : bool\n",
      "    Whether to shade the facecolors. Defaults to True. Shading is\n",
      "    always disabled when `cmap` is specified.\n",
      "\n",
      "lightsource : `~matplotlib.colors.LightSource`\n",
      "    The lightsource to use when `shade` is True.\n",
      "\n",
      "**kwargs\n",
      "    Other arguments are forwarded to `.Poly3DCollection`.\n",
      "\u001b[0;31mFile:\u001b[0m      ~/opt/anaconda3/lib/python3.7/site-packages/mpl_toolkits/mplot3d/axes3d.py\n",
      "\u001b[0;31mType:\u001b[0m      method\n"
     ]
    }
   ],
   "source": [
    "ax.plot_surface?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection='3d')\n",
    "\n",
    "# Data for a three-dimensional line\n",
    "zline = np.linspace(0, 15, 1000)\n",
    "xline = np.sin(zline)\n",
    "yline = np.cos(zline)\n",
    "ax.plot3D(xline, yline, zline, 'gray')\n",
    "\n",
    "# Data for three-dimensional scattered points\n",
    "zdata = 15 * np.random.random(100)\n",
    "xdata = np.sin(zdata) + 0.1 * np.random.randn(100)\n",
    "ydata = np.cos(zdata) + 0.1 * np.random.randn(100)\n",
    "ax.scatter3D(xdata, ydata, zdata, c=zdata, cmap='Greens')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 轮廓图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def f(x, y):\n",
    "    return np.sin(np.sqrt(x ** 2 + y ** 2))\n",
    "\n",
    "x = np.linspace(-6, 6, 30)\n",
    "y = np.linspace(-6, 6, 30)\n",
    "\n",
    "X, Y = np.meshgrid(x, y)\n",
    "Z = f(X, Y)\n",
    "fig = plt.figure()\n",
    "ax = plt.axes(projection='3d')\n",
    "ax.contour3D(X, Y, Z, 50, cmap='binary')\n",
    "ax.set_xlabel('x')\n",
    "ax.set_ylabel('y')\n",
    "ax.set_zlabel('z')\n",
    "ax.view_init(60, 35)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.92, 'wireframe')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = plt.axes(projection='3d')\n",
    "ax.plot_wireframe(X, Y, Z, color='black')\n",
    "ax.set_title('wireframe')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.92, 'surface')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection='3d')\n",
    "ax.plot_surface(X, Y, Z, rstride=1, cstride=1,\n",
    "                cmap='viridis', edgecolor='none')\n",
    "ax.set_title('surface')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "f048195d803dbb89568bc164ee3edc71708837990e1fb62ab8e9fbba2f16c3ed"
  },
  "kernelspec": {
   "display_name": "Python 3.7.6 64-bit ('base': conda)",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
